• The Journal of Korean Medical History
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• v.25 no.2
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• pp.105-112
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• 2012

The purpose of this paper is to suggest diagnosis support system for diseases of mind so that users can make effective decisions without professional knowledge by developing efficient knowledge system and utilizing ontology with which questions and logic inference are possible to diagnose diseases of mind. Furthermore, this diagnosis support system could be applied to supplement previous diagnosis method which depends on experiences by activating the diagnose of mind diseases thru ontology and determining state of mind effectively without technical knowledge. As a result of this experiment, diagnosis support system for diseases of mind was found to be accordance with the result of consulting instructions and show additional relevance thru utility extension.

• Journal of Korean Society of Archives and Records Management
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• v.13 no.3
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• pp.67-97
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• 2013

The purpose of this study is to design and evaluate an individual instance-based ontology retrieval system for archival records of the "Saemaul Movement". We used Protege editor 4.1 to design an individual instance-based ontology. To evaluate the proposed ontology retrieval system, five short queries and ten narrative queries were used and compared their precision and recall against the NARA keyword-based retrieval system. The performance results showed that the individual-based ontology retrieval system outperformed the keyword-based retrieval system in terms of the measurement of precision and recall.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.256-264
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• 2001

A methodology of ontology design and a computer system supporting ontology design are needed. Our research goals include development of a methodology for ontology design and a its support environment. Although several systems for building ontologies have been implemented, they do not consider ontological theory very much. We discuss how to apply the \"role-concept\" and \"relationship\" in our environment, named Hozo, for creating and using ontologies. We present the architecture, functionalities of its modules, its interface and the some experiences on the design and use of ontologies.

• The Journal of Engineering Research
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• v.3 no.1
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• pp.47-56
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• 1998

This is a study on an ontology development for a content-based Expert System Document Categorization. The objectives of this study were to set up the concept of ontology and to find out the effect of ontology on Expert System. Based on this concept of ontology, it found noems for development of Expert System in the field of fine arts and showed Ontology hierarchical categorization.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.1
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• pp.183-190
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• 2012

This study constructs an expert search system which has a mutual cooperation function based on thesis and author profile. The proposed methodology is as follows. First, we propose weighting method which can search a keyword and the most relevant keyword. Second, we propose a method which can search the experts efficiently with this weighting method. On the preferential basis, keywords and author profiles are extracted from the papers, and experts can be searched through this method. This system will be available to many fields of social network. However, this information is distributed to many systems. We propose a method using multi-ontology to integrate distributed data. The multi-ontology is composed of meta ontology, instance ontology, location ontology and association ontology. The association ontology is constructed through analysis of keyword association dynamically. An expert network is constructed using this multi-ontology, and this expert network can search expert through association trace of keyword. The expert network can check the detail area of expertise through the research list which is provided by the system.

• Journal of Korean Society of Rural Planning
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• v.12 no.4 s.33
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• pp.53-61
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• 2006

Rural amenity resources consist of natural, cultural and social resources. Some of resources have been surveyed in other institutes and organizations and information system about these resources has been constructed. Integrating with information of existing system or database is helpful to produce useful rural amenity resources information to users. This integration of distributed information is based on semantic integration. In this paper, we used ontology for semantic integration and introduced the method of external information integration using ontology. We designed ontology table to represent ontology in database and integrated distributed information using ontology. To examine the improvement of information service efficiency and the applicability, rural amenity resources information and tourist attraction information database were constructed and integrated. Also, the information service efficiency with information integration was evaluated using recall ratio and compared to the information service efficiency without information integration.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.5
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• pp.604-613
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• 2007

Researches are working on integration of ontology in order to reuse the constructed ontologies. And lots of tools lot ontology integration have been developed and used. However conventional methods and tools have following shortages: they cannot integrate more than three ontologies at once, and numbers of people cannot work together for ontology integration with the tools. In this paper, we propose an ontology integration process (OntoIntegProcess) by using MetaOntology[1]. And we develop an ontology integration system (OntoIS) based on the process. We show the effectiveness of the proposed process and system through experimental results obtained from ontology integration.

• Korean Journal of Computational Design and Engineering
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• v.13 no.3
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• pp.163-174
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• 2008

In this paper, for integrating of data on car parts we model information of parts that PDM system manages. Ontology of car parts applies existing ontology mapping research to integrate into car ontology. We propose a method for semantic integration of PLM object of MEMPHIS based on the integrated ontology. Through our method, we introduce C# ontology model to apply existing C# applications with ontology. We also classify ontology integration into three through examples and explain them. While semantically integrating PLM objects based on the integrated ontology, we explain the need for change of PLM object type and describe the process of change for PLM object type by examples.

• Journal of Physiology & Pathology in Korean Medicine
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• v.23 no.4
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• pp.745-750
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• 2009

The goal of this study is to examine on reasoning and search for construction of diagnosis ontology as a knowledge base of diagnosis expert system in oriental medicine. Expert system is a field of artificial intelligence. It is a system to acquire information with diverse reasoning methods after putting expert's knowledge in computer systematically. A typical model of expert system consists of knowledge base and reasoning & explanatory structure offering conclusion with the knowledge. To apply ontology as knowledge base to expert system practically, consideration on reasoning and search should be together. Therefore, this study compared and examined reasoning, search with diagnosis process in oriental medicine. Reasoning is divided into Rule-based reasoning and Case-based reasoning. The former is divided into Forward chaining and Backward chaining. Because of characteristics of diagnosis, sometimes Forward chaining or backward chaining are required. Therefore, there are a lot of cases that Hybrid chaining is effective. Case-based reasoning is a method to settle a problem in the present by comparing with the past cases. Therefore, it is suitable to diagnosis fields with abundant cases. Search is sorted into Breadth-first search, Depth-first search and Best-first search, which have respectively merits and demerits. To construct diagnosis ontology to be applied to practical expert system, reasoning and search to reflect diagnosis process and characteristics should be considered.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.5
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• pp.1092-1097
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• 2007

Ontology construction has need of many time and cost. This is why it is difficult to build a commercial semantic web. To solve the problem, we must automatically construct ontology. In this paper, we propose an automatic ontology generation system from web documents containing important informations of the web. The proposed system has two steps. One is simplification process which generates simple sentences from all sentences in the documents. Another is ontology generation process with transfer rules. Our system is very useful fur application domains in which many documents are updated or inserted frequently such as online shopping malls.